Anant Sahai, John Wawrzynek and Felicity Zhao

Intersymbol interference is an unwanted phenomenon that makes communication less reliable. However, an equalizer can reduce the bad influence of intersymbol interference. In general, my work is to compare different equalizers in various scenarios. In the first part of this paper, I explain the motivation of using equalization in detail, followed by introducing prerequisite knowledge of equalization. Then, I will introduce three main adaptive algorithms, least mean square (LMS), Recursive least square (RLS) and Constant Modulus Algorithms (CMA). Then, various structures of equalizers are depicted as well, including Linear Equalizer, Decision- Feedback Equalizer and Maximum-Likelihood Sequence Estimation. Finally, simulation results are used to compare their performances.

BibTeX citation:

@techreport{Sahai:EECS-2017-87,
Author = {Sahai, Anant and Wawrzynek, John and Zhao, Felicity},
Title = {Spectrum Access System: Comparison of Different Equalizers},
Institution = {EECS Department, University of California, Berkeley},
Year = {2017},
Month = {May},
URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2017/EECS-2017-87.html},
Number = {UCB/EECS-2017-87},
Abstract = {Intersymbol interference is an unwanted phenomenon that makes communication less reliable. However, an equalizer can reduce the bad influence of intersymbol interference. In general, my work is to compare different equalizers in various scenarios. In the first part of this paper, I explain the motivation of using equalization in detail, followed by introducing prerequisite knowledge of equalization. Then, I will introduce three main adaptive algorithms, least mean square (LMS), Recursive least square (RLS) and Constant Modulus Algorithms (CMA). Then, various structures of equalizers are depicted as well, including Linear Equalizer, Decision- Feedback Equalizer and Maximum-Likelihood Sequence Estimation. Finally, simulation results are used to compare their performances.}
}